The sample selection model: Application on the farmers’ decision of rice acreage

The sample selection model: Application on the farmers’ decision of rice acreage

© 2017 by the Mathematical Association of Thailand. All rights reserved. This study explores the estimation and inferences of a sample selection model with ordered-multinomial response outcomes. The model consists of two equations, namely, ordered response and regression equations. The estimation of...

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Main Authors: Woraphon Yamaka, Chaowana Phetcharat, Nattamon Teerakul, Thaya Navanugraha
Format: Journal
Published: 2018
Subjects:
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039696102&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57542
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-575422018-09-05T03:45:26Z The sample selection model: Application on the farmers’ decision of rice acreage Woraphon Yamaka Chaowana Phetcharat Nattamon Teerakul Thaya Navanugraha Mathematics © 2017 by the Mathematical Association of Thailand. All rights reserved. This study explores the estimation and inferences of a sample selection model with ordered-multinomial response outcomes. The model consists of two equations, namely, ordered response and regression equations. The estimation of parametric model is inconsistent when the distribution is unknown. To overcome this problem, we propose the primal generalized maximum entropy estimator to the model based on a constrained sample selection model with multinomial response outcomes. This method is also applied to examine farmers’ decision on the rice acreage and perception of weather risk. The result of this study shows that the gender and age affect the farmers’ subjective probability of the weather risk. 2018-09-05T03:45:26Z 2018-09-05T03:45:26Z 2017-01-01 Journal 16860209 2-s2.0-85039696102 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039696102&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57542
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Woraphon Yamaka
Chaowana Phetcharat
Nattamon Teerakul
Thaya Navanugraha
The sample selection model: Application on the farmers’ decision of rice acreage
description © 2017 by the Mathematical Association of Thailand. All rights reserved. This study explores the estimation and inferences of a sample selection model with ordered-multinomial response outcomes. The model consists of two equations, namely, ordered response and regression equations. The estimation of parametric model is inconsistent when the distribution is unknown. To overcome this problem, we propose the primal generalized maximum entropy estimator to the model based on a constrained sample selection model with multinomial response outcomes. This method is also applied to examine farmers’ decision on the rice acreage and perception of weather risk. The result of this study shows that the gender and age affect the farmers’ subjective probability of the weather risk.
format Journal
author Woraphon Yamaka
Chaowana Phetcharat
Nattamon Teerakul
Thaya Navanugraha
author_facet Woraphon Yamaka
Chaowana Phetcharat
Nattamon Teerakul
Thaya Navanugraha
author_sort Woraphon Yamaka
title The sample selection model: Application on the farmers’ decision of rice acreage
title_short The sample selection model: Application on the farmers’ decision of rice acreage
title_full The sample selection model: Application on the farmers’ decision of rice acreage
title_fullStr The sample selection model: Application on the farmers’ decision of rice acreage
title_full_unstemmed The sample selection model: Application on the farmers’ decision of rice acreage
title_sort sample selection model: application on the farmers’ decision of rice acreage
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039696102&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57542
_version_ 1681424898158755840

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